I have a question regarding the input for what is technically a repeated measures, but the way my experiment has been designed creates a problem.
You see, participants get to see two commercials, e.g. one with Product_A and a spoken slogan, and one with Product_B with a written slogan. They never get to see two commercials of the same product or type of slogan.
The possible combinations thus become
Entry for a normal repeated measures would just mean one row per person (with slogan as a main variable). However, "Product" is used as a control variable, as well as the order in which the commercials appear (see above). What should I do?
I have thought about:
1. Doubling the data points, thus splitting the two measures up, using user IDs to make sure I don't mess up the data input. That way, I can add "slogan", "product", and "order" (to measure a possible learning effect) as separate variables.
2. Make two data sets, both defined by product.
3. Coming to this site and ask someone more seasoned than I am (I'm not seasoned